Improved multiple target tracking using Dempster-Shafer identification

Henry Leung, Yifeng Li, Eloi Bosse, Martin Blanchette, Chun Chung Chan

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)


Tracking multiple maneuvering targets in clutter is a challenging problem. Using only the measured kinematic quantities is usually not adequate to meet the requirements on a multiple target tracking (MTT) system, i.e., to partition the sensor data into tracks of the targets while suppressing the clutter and false alarms. The efficient use of attribute data in addition to the kinematic measurements can greatly enhance the capability of an MTT system in discrimination against the false tracks. In this paper, the friend-foe identification information, the target run-length which measures the number of hits by a radar for a target, and the estimated target speed at each update of a track are used for true and false track identification. Since not all the information are available for all the tracks at all time, Dempster-Shafer's evidential reasoning is employed to combine these pieces of uncertain information with different levels of abstraction. Real air surveillance radar data were collected to evaluate the effectiveness of this combined tracking and identification approach. Results shows that the fusion of track attribute data with the kinematic estimates by Dempster-Shafer reasoning provides very satisfactory discrimination between the true and false tracks, thus greatly improves the system's surveillance capability over the system that uses only the kinematic data.
Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Number of pages10
ISBN (Print)0819424838
Publication statusPublished - 1 Dec 1997
Externally publishedYes
EventSignal Processing, Sensor Fusion, and Target Recognition VI - Orlando, FL, United States
Duration: 21 Apr 199724 Apr 1997


ConferenceSignal Processing, Sensor Fusion, and Target Recognition VI
Country/TerritoryUnited States
CityOrlando, FL

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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